The world of forecasting today is filled with machine-related buzzwords like AI, predictive analytics and machine learning. Will all of forecasting be done by m... Read More...
When it comes to forecasting models, there is no one size fits all. And with different inputs, methods, and parameters, how do you choose the right one, and onc... Read More...
"I hate this part of my job -there's no way to be right." I'd had the same thought many times.
I was talking to a fellow demand planner, who was under pressu... Read More...
It's very common in forecasting to aggregate data in order to increase the signal/noise ratio, and there are several papers out there regarding the significant ... Read More...
Selecting the right model plays a very important role in predictive analytics and forecasting. Use the wrong model, and you might as not have bothered at all. U... Read More...
An algorithm is a procedure or formula for solving a problem, based on conducting a sequence of finite operations or specified actions. Generally speaking, when... Read More...
Most forecasting approaches are based on the idea that a forecast can be improved if the underlying factors in the data can be identified and forecasted separat... Read More...
Question
Dear Dr. Jain,
We are currently working on improving our forecast accuracy. One of the ideas is to create an 'all other' group for the smaller cust... Read More...
As we start each new year, there comes a fresh list of ideas or prognostications about future trends in demand planning and S&OP. These days everyone is usi... Read More...
Predictive Analysis is a process of collecting, transforming, cleaning, and modeling data with the goal of gaining consensus of a future forecast. This provides... Read More...
